Dataset statistics
| Number of variables | 13 |
|---|---|
| Number of observations | 165 |
| Missing cells | 3 |
| Missing cells (%) | 0.1% |
| Duplicate rows | 0 |
| Duplicate rows (%) | 0.0% |
| Total size in memory | 22.1 KiB |
| Average record size in memory | 137.3 B |
Variable types
| Categorical | 3 |
|---|---|
| Numeric | 10 |
standard_names has a high cardinality: 165 distinct values | High cardinality |
ISO_2 has a high cardinality: 165 distinct values | High cardinality |
ISO_3 has a high cardinality: 165 distinct values | High cardinality |
Population (2020) is highly correlated with Confirmed | High correlation |
lat is highly correlated with Infection_rate_f and 1 other fields | High correlation |
Confirmed is highly correlated with Population (2020) and 1 other fields | High correlation |
Infection_rate_f is highly correlated with lat and 3 other fields | High correlation |
Med. Age is highly correlated with lat and 2 other fields | High correlation |
Urban Pop % is highly correlated with Infection_rate_f and 1 other fields | High correlation |
Population (2020) is highly correlated with Confirmed | High correlation |
lat is highly correlated with Med. Age | High correlation |
Confirmed is highly correlated with Population (2020) | High correlation |
Infection_rate_f is highly correlated with Med. Age and 1 other fields | High correlation |
Med. Age is highly correlated with lat and 2 other fields | High correlation |
Urban Pop % is highly correlated with Infection_rate_f and 1 other fields | High correlation |
Confirmed is highly correlated with Infection_rate_f | High correlation |
Infection_rate_f is highly correlated with Confirmed | High correlation |
Population (2020) is highly correlated with Confirmed and 1 other fields | High correlation |
lat is highly correlated with lng and 2 other fields | High correlation |
lng is highly correlated with lat and 1 other fields | High correlation |
Confirmed is highly correlated with Population (2020) and 1 other fields | High correlation |
Migrants (net) is highly correlated with Population (2020) and 1 other fields | High correlation |
Med. Age is highly correlated with lat and 1 other fields | High correlation |
Urban Pop % is highly correlated with lat | High correlation |
Urban Pop % has 3 (1.8%) missing values | Missing |
standard_names is uniformly distributed | Uniform |
ISO_2 is uniformly distributed | Uniform |
ISO_3 is uniformly distributed | Uniform |
standard_names has unique values | Unique |
ISO_2 has unique values | Unique |
ISO_3 has unique values | Unique |
Population (2020) has unique values | Unique |
lat has unique values | Unique |
lng has unique values | Unique |
Confirmed has unique values | Unique |
stringency_index has unique values | Unique |
Migrants (net) has 2 (1.2%) zeros | Zeros |
Reproduction
| Analysis started | 2022-05-04 23:49:45.263498 |
|---|---|
| Analysis finished | 2022-05-04 23:50:04.766343 |
| Duration | 19.5 seconds |
| Software version | pandas-profiling v3.1.0 |
| Download configuration | config.json |
| Distinct | 165 |
|---|---|
| Distinct (%) | 100.0% |
| Missing | 0 |
| Missing (%) | 0.0% |
| Memory size | 6.6 KiB |
| Iraq | 1 |
|---|---|
| Ireland | 1 |
| Cuba | 1 |
| Denmark | 1 |
| South Sudan | 1 |
| Other values (160) |
Length
| Max length | 24 |
|---|---|
| Median length | 7 |
| Mean length | 8.054545455 |
| Min length | 4 |
Characters and Unicode
| Total characters | 0 |
|---|---|
| Distinct characters | 0 |
| Distinct categories | 0 ? |
| Distinct scripts | 0 ? |
| Distinct blocks | 0 ? |
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.
Unique
| Unique | 165 ? |
|---|---|
| Unique (%) | 100.0% |
Sample
| 1st row | Afghanistan |
|---|---|
| 2nd row | Albania |
| 3rd row | Algeria |
| 4th row | Angola |
| 5th row | Argentina |
Common Values
| Value | Count | Frequency (%) |
| Iraq | 1 | 0.6% |
| Ireland | 1 | 0.6% |
| Cuba | 1 | 0.6% |
| Denmark | 1 | 0.6% |
| South Sudan | 1 | 0.6% |
| Romania | 1 | 0.6% |
| Uganda | 1 | 0.6% |
| Haiti | 1 | 0.6% |
| Latvia | 1 | 0.6% |
| Uzbekistan | 1 | 0.6% |
| Other values (155) | 155 |
Length
Histogram of lengths of the category
| Value | Count | Frequency (%) |
| republic | 5 | 2.6% |
| south | 3 | 1.5% |
| united | 3 | 1.5% |
| guinea | 2 | 1.0% |
| new | 2 | 1.0% |
| and | 2 | 1.0% |
| sudan | 2 | 1.0% |
| congo | 2 | 1.0% |
| leone | 1 | 0.5% |
| timor-leste | 1 | 0.5% |
| Other values (173) | 173 |
Most occurring characters
| Value | Count | Frequency (%) |
| No values found. | ||
Most occurring categories
| Value | Count | Frequency (%) |
| No values found. | ||
Most frequent character per category
Most occurring scripts
| Value | Count | Frequency (%) |
| No values found. | ||
Most frequent character per script
Most occurring blocks
| Value | Count | Frequency (%) |
| No values found. | ||
Most frequent character per block
| Distinct | 165 |
|---|---|
| Distinct (%) | 100.0% |
| Missing | 0 |
| Missing (%) | 0.0% |
| Memory size | 6.6 KiB |
| GA | 1 |
|---|---|
| NP | 1 |
| UY | 1 |
| DE | 1 |
| IT | 1 |
| Other values (160) |
Length
| Max length | 2 |
|---|---|
| Median length | 2 |
| Mean length | 2 |
| Min length | 2 |
Characters and Unicode
| Total characters | 0 |
|---|---|
| Distinct characters | 0 |
| Distinct categories | 0 ? |
| Distinct scripts | 0 ? |
| Distinct blocks | 0 ? |
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.
Unique
| Unique | 165 ? |
|---|---|
| Unique (%) | 100.0% |
Sample
| 1st row | AF |
|---|---|
| 2nd row | AL |
| 3rd row | DZ |
| 4th row | AO |
| 5th row | AR |
Common Values
| Value | Count | Frequency (%) |
| GA | 1 | 0.6% |
| NP | 1 | 0.6% |
| UY | 1 | 0.6% |
| DE | 1 | 0.6% |
| IT | 1 | 0.6% |
| LS | 1 | 0.6% |
| SD | 1 | 0.6% |
| MZ | 1 | 0.6% |
| TW | 1 | 0.6% |
| NI | 1 | 0.6% |
| Other values (155) | 155 |
Length
Histogram of lengths of the category
| Value | Count | Frequency (%) |
| ga | 1 | 0.6% |
| dk | 1 | 0.6% |
| gt | 1 | 0.6% |
| ne | 1 | 0.6% |
| af | 1 | 0.6% |
| ba | 1 | 0.6% |
| ci | 1 | 0.6% |
| cy | 1 | 0.6% |
| ml | 1 | 0.6% |
| pa | 1 | 0.6% |
| Other values (155) | 155 |
Most occurring characters
| Value | Count | Frequency (%) |
| No values found. | ||
Most occurring categories
| Value | Count | Frequency (%) |
| No values found. | ||
Most frequent character per category
Most occurring scripts
| Value | Count | Frequency (%) |
| No values found. | ||
Most frequent character per script
Most occurring blocks
| Value | Count | Frequency (%) |
| No values found. | ||
Most frequent character per block
| Distinct | 165 |
|---|---|
| Distinct (%) | 100.0% |
| Missing | 0 |
| Missing (%) | 0.0% |
| Memory size | 6.6 KiB |
| SLE | 1 |
|---|---|
| DZA | 1 |
| NGA | 1 |
| MAR | 1 |
| MUS | 1 |
| Other values (160) |
Length
| Max length | 3 |
|---|---|
| Median length | 3 |
| Mean length | 3 |
| Min length | 3 |
Characters and Unicode
| Total characters | 0 |
|---|---|
| Distinct characters | 0 |
| Distinct categories | 0 ? |
| Distinct scripts | 0 ? |
| Distinct blocks | 0 ? |
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.
Unique
| Unique | 165 ? |
|---|---|
| Unique (%) | 100.0% |
Sample
| 1st row | AFG |
|---|---|
| 2nd row | ALB |
| 3rd row | DZA |
| 4th row | AGO |
| 5th row | ARG |
Common Values
| Value | Count | Frequency (%) |
| SLE | 1 | 0.6% |
| DZA | 1 | 0.6% |
| NGA | 1 | 0.6% |
| MAR | 1 | 0.6% |
| MUS | 1 | 0.6% |
| GMB | 1 | 0.6% |
| BEL | 1 | 0.6% |
| KWT | 1 | 0.6% |
| TZA | 1 | 0.6% |
| NLD | 1 | 0.6% |
| Other values (155) | 155 |
Length
Histogram of lengths of the category
| Value | Count | Frequency (%) |
| sle | 1 | 0.6% |
| brb | 1 | 0.6% |
| vnm | 1 | 0.6% |
| rwa | 1 | 0.6% |
| cod | 1 | 0.6% |
| cze | 1 | 0.6% |
| fin | 1 | 0.6% |
| pse | 1 | 0.6% |
| isr | 1 | 0.6% |
| usa | 1 | 0.6% |
| Other values (155) | 155 |
Most occurring characters
| Value | Count | Frequency (%) |
| No values found. | ||
Most occurring categories
| Value | Count | Frequency (%) |
| No values found. | ||
Most frequent character per category
Most occurring scripts
| Value | Count | Frequency (%) |
| No values found. | ||
Most frequent character per script
Most occurring blocks
| Value | Count | Frequency (%) |
| No values found. | ||
Most frequent character per block
| Distinct | 165 |
|---|---|
| Distinct (%) | 100.0% |
| Missing | 0 |
| Missing (%) | 0.0% |
| Infinite | 0 |
| Infinite (%) | 0.0% |
| Mean | 46943332.35 |
| Minimum | 98453 |
|---|---|
| Maximum | 1440297825 |
| Zeros | 0 |
| Zeros (%) | 0.0% |
| Negative | 0 |
| Negative (%) | 0.0% |
| Memory size | 6.6 KiB |
Quantile statistics
| Minimum | 98453 |
|---|---|
| 5-th percentile | 595573.6 |
| Q1 | 4669775 |
| median | 11216250 |
| Q3 | 33551824 |
| 95-th percentile | 142589624.8 |
| Maximum | 1440297825 |
| Range | 1440199372 |
| Interquartile range (IQR) | 28882049 |
Descriptive statistics
| Standard deviation | 159627896.3 |
|---|---|
| Coefficient of variation (CV) | 3.400438109 |
| Kurtosis | 64.75845676 |
| Mean | 46943332.35 |
| Median Absolute Deviation (MAD) | 9129856 |
| Skewness | 7.789008121 |
| Sum | 7745649837 |
| Variance | 2.548106527 × 1016 |
| Monotonicity | Not monotonic |
Histogram with fixed size bins (bins=50)
| Value | Count | Frequency (%) |
| 2715340 | 1 | 0.6% |
| 5077411 | 1 | 0.6% |
| 11948454 | 1 | 0.6% |
| 2145194 | 1 | 0.6% |
| 8975531 | 1 | 0.6% |
| 20997293 | 1 | 0.6% |
| 11839918 | 1 | 0.6% |
| 9655983 | 1 | 0.6% |
| 16758448 | 1 | 0.6% |
| 51276977 | 1 | 0.6% |
| Other values (155) | 155 |
| Value | Count | Frequency (%) |
| 98453 | 1 | |
| 287437 | 1 | |
| 308337 | 1 | |
| 341628 | 1 | |
| 398845 | 1 | |
| 438202 | 1 | |
| 441750 | 1 | |
| 557026 | 1 | |
| 587541 | 1 | |
| 627704 | 1 |
| Value | Count | Frequency (%) |
| 1440297825 | 1 | |
| 1382345085 | 1 | |
| 331341050 | 1 | |
| 274021604 | 1 | |
| 221612785 | 1 | |
| 212821986 | 1 | |
| 206984347 | 1 | |
| 164972348 | 1 | |
| 145945524 | 1 | |
| 129166028 | 1 |
| Distinct | 165 |
|---|---|
| Distinct (%) | 100.0% |
| Missing | 0 |
| Missing (%) | 0.0% |
| Infinite | 0 |
| Infinite (%) | 0.0% |
| Mean | 19.53067016 |
| Minimum | -40.900557 |
|---|---|
| Maximum | 64.963051 |
| Zeros | 0 |
| Zeros (%) | 0.0% |
| Negative | 35 |
| Negative (%) | 21.2% |
| Memory size | 6.6 KiB |
Quantile statistics
| Minimum | -40.900557 |
|---|---|
| 5-th percentile | -23.2196972 |
| Q1 | 4.860416 |
| median | 18.735693 |
| Q3 | 39.074208 |
| 95-th percentile | 55.979903 |
| Maximum | 64.963051 |
| Range | 105.863608 |
| Interquartile range (IQR) | 34.213792 |
Descriptive statistics
| Standard deviation | 24.3412359 |
|---|---|
| Coefficient of variation (CV) | 1.246308278 |
| Kurtosis | -0.5484731924 |
| Mean | 19.53067016 |
| Median Absolute Deviation (MAD) | 17.38361 |
| Skewness | -0.2950973125 |
| Sum | 3222.560576 |
| Variance | 592.4957652 |
| Monotonicity | Not monotonic |
Histogram with fixed size bins (bins=50)
| Value | Count | Frequency (%) |
| 4.210484 | 1 | 0.6% |
| -4.038333 | 1 | 0.6% |
| -9.189967 | 1 | 0.6% |
| 7.873054 | 1 | 0.6% |
| -1.831239 | 1 | 0.6% |
| 33.854721 | 1 | 0.6% |
| -4.679574 | 1 | 0.6% |
| -8.874217 | 1 | 0.6% |
| 15.783471 | 1 | 0.6% |
| -0.228021 | 1 | 0.6% |
| Other values (155) | 155 |
| Value | Count | Frequency (%) |
| -40.900557 | 1 | |
| -38.416097 | 1 | |
| -35.675147 | 1 | |
| -32.522779 | 1 | |
| -30.559482 | 1 | |
| -29.609988 | 1 | |
| -26.522503 | 1 | |
| -25.274398 | 1 | |
| -23.442503 | 1 | |
| -22.328474 | 1 |
| Value | Count | Frequency (%) |
| 64.963051 | 1 | |
| 61.92411 | 1 | |
| 61.52401 | 1 | |
| 60.472024 | 1 | |
| 60.128161 | 1 | |
| 58.595272 | 1 | |
| 56.879635 | 1 | |
| 56.26392 | 1 | |
| 56.130366 | 1 | |
| 55.378051 | 1 |
| Distinct | 165 |
|---|---|
| Distinct (%) | 100.0% |
| Missing | 0 |
| Missing (%) | 0.0% |
| Infinite | 0 |
| Infinite (%) | 0.0% |
| Mean | 21.16641983 |
| Minimum | -106.346771 |
|---|---|
| Maximum | 178.065032 |
| Zeros | 0 |
| Zeros (%) | 0.0% |
| Negative | 47 |
| Negative (%) | 28.5% |
| Memory size | 6.6 KiB |
Quantile statistics
| Minimum | -106.346771 |
|---|---|
| 5-th percentile | -84.9164688 |
| Q1 | -5.54708 |
| median | 21.824312 |
| Q3 | 48.516388 |
| 95-th percentile | 124.9368346 |
| Maximum | 178.065032 |
| Range | 284.411803 |
| Interquartile range (IQR) | 54.063468 |
Descriptive statistics
| Standard deviation | 61.36728173 |
|---|---|
| Coefficient of variation (CV) | 2.899275466 |
| Kurtosis | -0.02050563335 |
| Mean | 21.16641983 |
| Median Absolute Deviation (MAD) | 27.371392 |
| Skewness | 0.05836967483 |
| Sum | 3492.459273 |
| Variance | 3765.943267 |
| Monotonicity | Not monotonic |
Histogram with fixed size bins (bins=50)
| Value | Count | Frequency (%) |
| 28.233608 | 1 | 0.6% |
| 84.124008 | 1 | 0.6% |
| 11.609444 | 1 | 0.6% |
| 22.937506 | 1 | 0.6% |
| 78.96288 | 1 | 0.6% |
| -19.020835 | 1 | 0.6% |
| -66.58973 | 1 | 0.6% |
| -7.09262 | 1 | 0.6% |
| 17.679076 | 1 | 0.6% |
| 34.301525 | 1 | 0.6% |
| Other values (155) | 155 |
| Value | Count | Frequency (%) |
| -106.346771 | 1 | |
| -102.552784 | 1 | |
| -95.9882368 | 1 | |
| -95.712891 | 1 | |
| -90.230759 | 1 | |
| -88.89653 | 1 | |
| -88.49765 | 1 | |
| -86.241905 | 1 | |
| -85.207229 | 1 | |
| -83.753428 | 1 |
| Value | Count | Frequency (%) |
| 178.065032 | 1 | |
| 174.885971 | 1 | |
| 166.959158 | 1 | |
| 160.156194 | 1 | |
| 143.95555 | 1 | |
| 138.252924 | 1 | |
| 133.775136 | 1 | |
| 127.766922 | 1 | |
| 125.727539 | 1 | |
| 121.774017 | 1 |
Density (P/Km²)
Real number (ℝ≥0)
| Distinct | 115 |
|---|---|
| Distinct (%) | 69.7% |
| Missing | 0 |
| Missing (%) | 0.0% |
| Infinite | 0 |
| Infinite (%) | 0.0% |
| Mean | 205.6 |
| Minimum | 2 |
|---|---|
| Maximum | 8358 |
| Zeros | 0 |
| Zeros (%) | 0.0% |
| Negative | 0 |
| Negative (%) | 0.0% |
| Memory size | 6.6 KiB |
Quantile statistics
| Minimum | 2 |
|---|---|
| 5-th percentile | 5.4 |
| Q1 | 30 |
| median | 83 |
| Q3 | 152 |
| 95-th percentile | 606.2 |
| Maximum | 8358 |
| Range | 8356 |
| Interquartile range (IQR) | 122 |
Descriptive statistics
| Standard deviation | 688.8905078 |
|---|---|
| Coefficient of variation (CV) | 3.350634765 |
| Kurtosis | 121.5734071 |
| Mean | 205.6 |
| Median Absolute Deviation (MAD) | 57 |
| Skewness | 10.44758777 |
| Sum | 33924 |
| Variance | 474570.1317 |
| Monotonicity | Not monotonic |
Histogram with fixed size bins (bins=50)
| Value | Count | Frequency (%) |
| 25 | 7 | 4.2% |
| 4 | 5 | 3.0% |
| 18 | 5 | 3.0% |
| 83 | 4 | 2.4% |
| 26 | 3 | 1.8% |
| 16 | 3 | 1.8% |
| 20 | 3 | 1.8% |
| 137 | 3 | 1.8% |
| 17 | 3 | 1.8% |
| 76 | 2 | 1.2% |
| Other values (105) | 127 |
| Value | Count | Frequency (%) |
| 2 | 1 | 0.6% |
| 3 | 2 | 1.2% |
| 4 | 5 | |
| 5 | 1 | 0.6% |
| 7 | 1 | 0.6% |
| 8 | 1 | 0.6% |
| 9 | 2 | 1.2% |
| 11 | 1 | 0.6% |
| 13 | 1 | 0.6% |
| 15 | 1 | 0.6% |
| Value | Count | Frequency (%) |
| 8358 | 1 | |
| 2239 | 1 | |
| 1380 | 1 | |
| 1265 | 1 | |
| 847 | 1 | |
| 673 | 1 | |
| 668 | 1 | |
| 667 | 1 | |
| 626 | 1 | |
| 527 | 1 |
| Distinct | 165 |
|---|---|
| Distinct (%) | 100.0% |
| Missing | 0 |
| Missing (%) | 0.0% |
| Infinite | 0 |
| Infinite (%) | 0.0% |
| Mean | 514937.5212 |
| Minimum | 1 |
|---|---|
| Maximum | 17459296 |
| Zeros | 0 |
| Zeros (%) | 0.0% |
| Negative | 0 |
| Negative (%) | 0.0% |
| Memory size | 6.6 KiB |
Quantile statistics
| Minimum | 1 |
|---|---|
| 5-th percentile | 378.2 |
| Q1 | 6955 |
| median | 65697 |
| Q3 | 252724 |
| 95-th percentile | 2124367.6 |
| Maximum | 17459296 |
| Range | 17459295 |
| Interquartile range (IQR) | 245769 |
Descriptive statistics
| Standard deviation | 1781181.315 |
|---|---|
| Coefficient of variation (CV) | 3.459024137 |
| Kurtosis | 55.28120062 |
| Mean | 514937.5212 |
| Median Absolute Deviation (MAD) | 63211 |
| Skewness | 6.816804724 |
| Sum | 84964691 |
| Variance | 3.172606877 × 1012 |
| Monotonicity | Not monotonic |
Histogram with fixed size bins (bins=50)
| Value | Count | Frequency (%) |
| 943 | 1 | 0.6% |
| 46274 | 1 | 0.6% |
| 9893 | 1 | 0.6% |
| 94371 | 1 | 0.6% |
| 149149 | 1 | 0.6% |
| 93772 | 1 | 0.6% |
| 202 | 1 | 0.6% |
| 6471 | 1 | 0.6% |
| 3696 | 1 | 0.6% |
| 17559 | 1 | 0.6% |
| Other values (155) | 155 |
| Value | Count | Frequency (%) |
| 1 | 1 | |
| 17 | 1 | |
| 31 | 1 | |
| 41 | 1 | |
| 46 | 1 | |
| 152 | 1 | |
| 202 | 1 | |
| 307 | 1 | |
| 362 | 1 | |
| 443 | 1 |
| Value | Count | Frequency (%) |
| 17459296 | 1 | |
| 9462809 | 1 | |
| 7162978 | 1 | |
| 6665209 | 1 | |
| 5352449 | 1 | |
| 2764843 | 1 | |
| 2246032 | 1 | |
| 2173896 | 1 | |
| 2159937 | 1 | |
| 1982090 | 1 |
| Distinct | 165 |
|---|---|
| Distinct (%) | 100.0% |
| Missing | 0 |
| Missing (%) | 0.0% |
| Infinite | 0 |
| Infinite (%) | 0.0% |
| Mean | 50.34675149 |
| Minimum | 11.83505376 |
|---|---|
| Maximum | 75.0536828 |
| Zeros | 0 |
| Zeros (%) | 0.0% |
| Negative | 0 |
| Negative (%) | 0.0% |
| Memory size | 6.6 KiB |
Quantile statistics
| Minimum | 11.83505376 |
|---|---|
| 5-th percentile | 31.15885032 |
| Q1 | 43.16027778 |
| median | 51.73650627 |
| Q3 | 58.62871657 |
| 95-th percentile | 66.26470353 |
| Maximum | 75.0536828 |
| Range | 63.21862903 |
| Interquartile range (IQR) | 15.46843879 |
Descriptive statistics
| Standard deviation | 11.81172767 |
|---|---|
| Coefficient of variation (CV) | 0.234607543 |
| Kurtosis | 0.7045174984 |
| Mean | 50.34675149 |
| Median Absolute Deviation (MAD) | 7.547217989 |
| Skewness | -0.7094207914 |
| Sum | 8307.213995 |
| Variance | 139.5169104 |
| Monotonicity | Not monotonic |
Histogram with fixed size bins (bins=50)
| Value | Count | Frequency (%) |
| 58.99787305 | 1 | 0.6% |
| 39.59154122 | 1 | 0.6% |
| 24.49748953 | 1 | 0.6% |
| 47.30018638 | 1 | 0.6% |
| 39.25144624 | 1 | 0.6% |
| 45.51181405 | 1 | 0.6% |
| 57.26798418 | 1 | 0.6% |
| 44.21212539 | 1 | 0.6% |
| 71.19912724 | 1 | 0.6% |
| 41.8924481 | 1 | 0.6% |
| Other values (155) | 155 |
| Value | Count | Frequency (%) |
| 11.83505376 | 1 | |
| 12.4339623 | 1 | |
| 13.84946147 | 1 | |
| 21.55558423 | 1 | |
| 23.50241129 | 1 | |
| 24.49748953 | 1 | |
| 28.68346685 | 1 | |
| 29.63052493 | 1 | |
| 31.10229817 | 1 | |
| 31.38505892 | 1 |
| Value | Count | Frequency (%) |
| 75.0536828 | 1 | |
| 73.69887545 | 1 | |
| 71.19912724 | 1 | |
| 70.09424991 | 1 | |
| 68.391841 | 1 | |
| 67.82868267 | 1 | |
| 67.30252419 | 1 | |
| 66.87426344 | 1 | |
| 66.36012449 | 1 | |
| 65.88301971 | 1 |
| Distinct | 164 |
|---|---|
| Distinct (%) | 99.4% |
| Missing | 0 |
| Missing (%) | 0.0% |
| Infinite | 0 |
| Infinite (%) | 0.0% |
| Mean | 1.393537576 |
| Minimum | 0.0003 |
|---|---|
| Maximum | 8.2295 |
| Zeros | 0 |
| Zeros (%) | 0.0% |
| Negative | 0 |
| Negative (%) | 0.0% |
| Memory size | 6.6 KiB |
Quantile statistics
| Minimum | 0.0003 |
|---|---|
| 5-th percentile | 0.0062 |
| Q1 | 0.0895 |
| median | 0.6531 |
| Q3 | 2.3356 |
| 95-th percentile | 4.88476 |
| Maximum | 8.2295 |
| Range | 8.2292 |
| Interquartile range (IQR) | 2.2461 |
Descriptive statistics
| Standard deviation | 1.704021819 |
|---|---|
| Coefficient of variation (CV) | 1.222802922 |
| Kurtosis | 2.190307891 |
| Mean | 1.393537576 |
| Median Absolute Deviation (MAD) | 0.6302 |
| Skewness | 1.498731027 |
| Sum | 229.9337 |
| Variance | 2.903690361 |
| Monotonicity | Not monotonic |
Histogram with fixed size bins (bins=50)
| Value | Count | Frequency (%) |
| 0.0062 | 2 | 1.2% |
| 0.4628 | 1 | 0.6% |
| 0.0551 | 1 | 0.6% |
| 2.272 | 1 | 0.6% |
| 4.9051 | 1 | 0.6% |
| 0.2255 | 1 | 0.6% |
| 0.1532 | 1 | 0.6% |
| 1.5169 | 1 | 0.6% |
| 0.0229 | 1 | 0.6% |
| 0.103 | 1 | 0.6% |
| Other values (154) | 154 |
| Value | Count | Frequency (%) |
| 0.0003 | 1 | |
| 0.0004 | 1 | |
| 0.0008 | 1 | |
| 0.0016 | 1 | |
| 0.0021 | 1 | |
| 0.0024 | 1 | |
| 0.0025 | 1 | |
| 0.005 | 1 | |
| 0.0062 | 2 | |
| 0.0068 | 1 |
| Value | Count | Frequency (%) |
| 8.2295 | 1 | |
| 8.1966 | 1 | |
| 5.6944 | 1 | |
| 5.3544 | 1 | |
| 5.2692 | 1 | |
| 5.2531 | 1 | |
| 5.1156 | 1 | |
| 4.9811 | 1 | |
| 4.9051 | 1 | |
| 4.8034 | 1 |
| Distinct | 137 |
|---|---|
| Distinct (%) | 83.0% |
| Missing | 0 |
| Missing (%) | 0.0% |
| Infinite | 0 |
| Infinite (%) | 0.0% |
| Mean | 393.9515152 |
| Minimum | -653249 |
|---|---|
| Maximum | 954806 |
| Zeros | 2 |
| Zeros (%) | 1.2% |
| Negative | 91 |
| Negative (%) | 55.2% |
| Memory size | 6.6 KiB |
Quantile statistics
| Minimum | -653249 |
|---|---|
| 5-th percentile | -113277.4 |
| Q1 | -16053 |
| median | -1500 |
| Q3 | 14000 |
| 95-th percentile | 156385.4 |
| Maximum | 954806 |
| Range | 1608055 |
| Interquartile range (IQR) | 30053 |
Descriptive statistics
| Standard deviation | 135905.2294 |
|---|---|
| Coefficient of variation (CV) | 344.9795829 |
| Kurtosis | 20.54229241 |
| Mean | 393.9515152 |
| Median Absolute Deviation (MAD) | 15056 |
| Skewness | 1.204632383 |
| Sum | 65002 |
| Variance | 1.847023137 × 1010 |
| Monotonicity | Not monotonic |
Histogram with fixed size bins (bins=50)
| Value | Count | Frequency (%) |
| -4000 | 4 | 2.4% |
| -10000 | 4 | 2.4% |
| 40000 | 4 | 2.4% |
| -30000 | 3 | 1.8% |
| -40000 | 3 | 1.8% |
| 0 | 2 | 1.2% |
| 2000 | 2 | 1.2% |
| 1200 | 2 | 1.2% |
| -20000 | 2 | 1.2% |
| 4000 | 2 | 1.2% |
| Other values (127) | 137 |
| Value | Count | Frequency (%) |
| -653249 | 1 | |
| -532687 | 1 | |
| -427391 | 1 | |
| -369501 | 1 | |
| -348399 | 1 | |
| -233379 | 1 | |
| -174200 | 1 | |
| -163313 | 1 | |
| -116858 | 1 | |
| -98955 | 1 |
| Value | Count | Frequency (%) |
| 954806 | 1 | |
| 543822 | 1 | |
| 283922 | 1 | |
| 260650 | 1 | |
| 242032 | 1 | |
| 204796 | 1 | |
| 182456 | 1 | |
| 168694 | 1 | |
| 158246 | 1 | |
| 148943 | 1 |
| Distinct | 33 |
|---|---|
| Distinct (%) | 20.0% |
| Missing | 0 |
| Missing (%) | 0.0% |
| Infinite | 0 |
| Infinite (%) | 0.0% |
| Mean | 30.26060606 |
| Minimum | 15 |
|---|---|
| Maximum | 48 |
| Zeros | 0 |
| Zeros (%) | 0.0% |
| Negative | 0 |
| Negative (%) | 0.0% |
| Memory size | 6.6 KiB |
Quantile statistics
| Minimum | 15 |
|---|---|
| 5-th percentile | 18 |
| Q1 | 21 |
| median | 30 |
| Q3 | 38 |
| 95-th percentile | 44.8 |
| Maximum | 48 |
| Range | 33 |
| Interquartile range (IQR) | 17 |
Descriptive statistics
| Standard deviation | 9.234675486 |
|---|---|
| Coefficient of variation (CV) | 0.3051715312 |
| Kurtosis | -1.255095604 |
| Mean | 30.26060606 |
| Median Absolute Deviation (MAD) | 9 |
| Skewness | 0.1527542968 |
| Sum | 4993 |
| Variance | 85.27923134 |
| Monotonicity | Not monotonic |
Histogram with fixed size bins (bins=33)
| Value | Count | Frequency (%) |
| 19 | 12 | 7.3% |
| 28 | 11 | 6.7% |
| 18 | 10 | 6.1% |
| 43 | 9 | 5.5% |
| 42 | 9 | 5.5% |
| 32 | 9 | 5.5% |
| 30 | 7 | 4.2% |
| 20 | 7 | 4.2% |
| 40 | 7 | 4.2% |
| 38 | 7 | 4.2% |
| Other values (23) | 77 |
| Value | Count | Frequency (%) |
| 15 | 1 | 0.6% |
| 16 | 1 | 0.6% |
| 17 | 6 | |
| 18 | 10 | |
| 19 | 12 | |
| 20 | 7 | |
| 21 | 5 | |
| 22 | 3 | 1.8% |
| 23 | 3 | 1.8% |
| 24 | 6 |
| Value | Count | Frequency (%) |
| 48 | 1 | 0.6% |
| 47 | 1 | 0.6% |
| 46 | 3 | 1.8% |
| 45 | 4 | |
| 44 | 3 | 1.8% |
| 43 | 9 | |
| 42 | 9 | |
| 41 | 4 | |
| 40 | 7 | |
| 38 | 7 |
| Distinct | 71 |
|---|---|
| Distinct (%) | 43.8% |
| Missing | 3 |
| Missing (%) | 1.8% |
| Infinite | 0 |
| Infinite (%) | 0.0% |
| Mean | 59.65432099 |
| Minimum | 13 |
|---|---|
| Maximum | 98 |
| Zeros | 0 |
| Zeros (%) | 0.0% |
| Negative | 0 |
| Negative (%) | 0.0% |
| Memory size | 6.6 KiB |
Quantile statistics
| Minimum | 13 |
|---|---|
| 5-th percentile | 23 |
| Q1 | 43 |
| median | 60 |
| Q3 | 78.75 |
| 95-th percentile | 91.95 |
| Maximum | 98 |
| Range | 85 |
| Interquartile range (IQR) | 35.75 |
Descriptive statistics
| Standard deviation | 21.83288334 |
|---|---|
| Coefficient of variation (CV) | 0.3659899732 |
| Kurtosis | -0.9333171539 |
| Mean | 59.65432099 |
| Median Absolute Deviation (MAD) | 18 |
| Skewness | -0.2636859858 |
| Sum | 9664 |
| Variance | 476.6747949 |
| Monotonicity | Not monotonic |
Histogram with fixed size bins (bins=50)
| Value | Count | Frequency (%) |
| 57 | 6 | 3.6% |
| 80 | 5 | 3.0% |
| 43 | 5 | 3.0% |
| 56 | 5 | 3.0% |
| 73 | 4 | 2.4% |
| 78 | 4 | 2.4% |
| 38 | 4 | 2.4% |
| 63 | 4 | 2.4% |
| 76 | 4 | 2.4% |
| 52 | 4 | 2.4% |
| Other values (61) | 117 |
| Value | Count | Frequency (%) |
| 13 | 1 | 0.6% |
| 14 | 1 | 0.6% |
| 17 | 1 | 0.6% |
| 18 | 3 | |
| 21 | 2 | |
| 23 | 2 | |
| 24 | 2 | |
| 25 | 2 | |
| 26 | 1 | 0.6% |
| 27 | 2 |
| Value | Count | Frequency (%) |
| 98 | 1 | 0.6% |
| 96 | 2 | |
| 94 | 1 | 0.6% |
| 93 | 3 | |
| 92 | 2 | |
| 91 | 1 | 0.6% |
| 89 | 1 | 0.6% |
| 88 | 4 | |
| 87 | 3 | |
| 86 | 3 |
Spearman's ρ
The Spearman's rank correlation coefficient (ρ) is a measure of monotonic correlation between two variables, and is therefore better in catching nonlinear monotonic correlations than Pearson's r. It's value lies between -1 and +1, -1 indicating total negative monotonic correlation, 0 indicating no monotonic correlation and 1 indicating total positive monotonic correlation.To calculate ρ for two variables X and Y, one divides the covariance of the rank variables of X and Y by the product of their standard deviations.
Pearson's r
The Pearson's correlation coefficient (r) is a measure of linear correlation between two variables. It's value lies between -1 and +1, -1 indicating total negative linear correlation, 0 indicating no linear correlation and 1 indicating total positive linear correlation. Furthermore, r is invariant under separate changes in location and scale of the two variables, implying that for a linear function the angle to the x-axis does not affect r.To calculate r for two variables X and Y, one divides the covariance of X and Y by the product of their standard deviations.
Kendall's τ
Similarly to Spearman's rank correlation coefficient, the Kendall rank correlation coefficient (τ) measures ordinal association between two variables. It's value lies between -1 and +1, -1 indicating total negative correlation, 0 indicating no correlation and 1 indicating total positive correlation.To calculate τ for two variables X and Y, one determines the number of concordant and discordant pairs of observations. τ is given by the number of concordant pairs minus the discordant pairs divided by the total number of pairs.
Phik (φk)
Phik (φk) is a new and practical correlation coefficient that works consistently between categorical, ordinal and interval variables, captures non-linear dependency and reverts to the Pearson correlation coefficient in case of a bivariate normal input distribution. There is extensive documentation available here. A simple visualization of nullity by column.
Nullity matrix is a data-dense display which lets you quickly visually pick out patterns in data completion.
The dendrogram allows you to more fully correlate variable completion, revealing trends deeper than the pairwise ones visible in the correlation heatmap.
First rows
| standard_names | ISO_2 | ISO_3 | Population (2020) | lat | lng | Density (P/Km²) | Confirmed | stringency_index | Infection_rate_f | Migrants (net) | Med. Age | Urban Pop % | |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 0 | Afghanistan | AF | AFG | 39074280 | 33.939110 | 67.709953 | 60 | 46274.0 | 42.700514 | 0.1183 | -62920.0 | 18 | 25.0 |
| 1 | Albania | AL | ALB | 2877239 | 41.153332 | 20.168331 | 105 | 52004.0 | 55.330056 | 1.8074 | -14000.0 | 36 | 63.0 |
| 2 | Algeria | DZ | DZA | 43984569 | 28.033886 | 1.659626 | 18 | 94371.0 | 59.981444 | 0.2146 | -10000.0 | 29 | 73.0 |
| 3 | Angola | AO | AGO | 33032075 | -11.202692 | 17.873887 | 26 | 16562.0 | 57.541104 | 0.0502 | 6413.0 | 17 | 67.0 |
| 4 | Argentina | AR | ARG | 45267449 | -38.416097 | -63.616672 | 17 | 1531374.0 | 71.199127 | 3.3829 | 4800.0 | 32 | 93.0 |
| 5 | Australia | AU | AUS | 25550683 | -25.274398 | 133.775136 | 3 | 27912.0 | 53.724214 | 0.1091 | 158246.0 | 38 | 86.0 |
| 6 | Austria | AT | AUT | 9015361 | 47.516231 | 14.550072 | 109 | 282456.0 | 43.818826 | 3.1331 | 65000.0 | 43 | 57.0 |
| 7 | Azerbaijan | AZ | AZE | 10154978 | 40.143105 | 47.576927 | 123 | 195422.0 | 64.817643 | 1.9243 | 1200.0 | 32 | 56.0 |
| 8 | Bahrain | BH | BHR | 1711057 | 26.066700 | 50.557700 | 2239 | 89883.0 | 56.258461 | 5.2531 | 47800.0 | 32 | 89.0 |
| 9 | Bangladesh | BD | BGD | 164972348 | 23.684994 | 90.356331 | 1265 | 498293.0 | 65.883020 | 0.3020 | -369501.0 | 28 | 39.0 |
Last rows
| standard_names | ISO_2 | ISO_3 | Population (2020) | lat | lng | Density (P/Km²) | Confirmed | stringency_index | Infection_rate_f | Migrants (net) | Med. Age | Urban Pop % | |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 155 | United Kingdom | GB | GBR | 67948282 | 55.378051 | -3.435973 | 281 | 2173896.0 | 56.888553 | 3.1993 | 260650.0 | 40 | 83.0 |
| 156 | United States | US | USA | 331341050 | 37.090240 | -95.712891 | 36 | 17459296.0 | 56.045880 | 5.2692 | 954806.0 | 38 | 83.0 |
| 157 | Uruguay | UY | URY | 3475842 | -32.522779 | -55.765835 | 20 | 12451.0 | 37.664805 | 0.3582 | -3000.0 | 36 | 96.0 |
| 158 | Uzbekistan | UZ | UZB | 33551824 | 41.377491 | 64.585262 | 79 | 75675.0 | 50.968375 | 0.2255 | -8863.0 | 28 | 50.0 |
| 159 | Vanuatu | VU | VUT | 308337 | -15.376706 | 166.959158 | 25 | 1.0 | 38.589624 | 0.0003 | 120.0 | 21 | 24.0 |
| 160 | Venezuela | VE | VEN | 28421581 | 6.423750 | -66.589730 | 32 | 109395.0 | 67.828683 | 0.3848 | -653249.0 | 30 | NaN |
| 161 | Vietnam | VN | VNM | 97490013 | 14.058324 | 108.277199 | 314 | 1410.0 | 56.785964 | 0.0016 | -80000.0 | 32 | 38.0 |
| 162 | Yemen | YE | YEM | 29935468 | 15.552727 | 48.516388 | 56 | 4023.0 | 29.630525 | 0.0135 | -30000.0 | 20 | 38.0 |
| 163 | Zambia | ZM | ZMB | 18468257 | -13.133897 | 27.849332 | 25 | 18575.0 | 38.758279 | 0.1006 | -8000.0 | 18 | 45.0 |
| 164 | Zimbabwe | ZW | ZWE | 14899771 | -19.015438 | 29.154857 | 38 | 12087.0 | 61.008550 | 0.0812 | -116858.0 | 19 | 38.0 |